Dynamically Adjustable Training Simulation

2. The method of claim 1, wherein one or more elements of the simulation environment is selected from the group consisting of a real physical object, a virtual object and a combination thereof, wherein said real physical object and virtual object have one or more adjustable properties.

3. The method of claim 2 wherein the step of applying the modification to the simulation environment alters one or more adjustable properties of the real physical object.

5. The method of claim 1, wherein the one or more biometric sensors collects biometric data selected from the group consisting of heart rate, pulse rate, sweat level, body movement, voice pattern and attentiveness level.

8. The computer program product of claim 7, wherein one or more elements of the simulation environment is selected from the group consisting of a real physical object, a virtual object and a combination thereof, wherein said real physical object and virtual object have one or more adjustable properties.

9. The computer program product of claim 8, wherein the step of applying the modification alters one or more adjustable properties of the real physical object.

11. The computer program product of claim 7, wherein the one or more biometric sensors collects biometric data selected from the group consisting of heart rate, pulse rate, sweat level, body movement, voice pattern and attentiveness level.

13. The computer system of claim 12, wherein one or more elements of the simulation environment is selected from the group consisting of a real physical object, a virtual object and a combination thereof, wherein said real physical object and virtual object have one or more adjustable properties.

14. The computer system of claim 13, wherein the step of applying the modification alters one or more adjustable properties of the real physical object.

16. The computer system of claim 12, wherein the biometric data is selected from the group consisting of heart rate, pulse rate, sweat level, body movement, voice pattern and attentiveness level.